片语

classification society rule船级社规范

pruning-classification association rule修剪分类算法

bayesian classification rulebayes分类规则

classification association rule称为分类关联规则

fuzzy classification association rule模糊分类关联规则

classification analysis rule分类分析规则

midges classification rule蠓虫分类规则

neighborhood classification rule邻域分类规则

英汉例句

• The results demonstrate that the methodology can classify the customers effectively, extract the classification rule and enhance the classification accuracy.

  通过实例验证了这种方法能够有效地对客户进行细分、提取分类规则，并提高了分类準确性。

• A strategy for finding smallest reduction of information system is studied by using concept of core in rough set theory. A method of discovering classification rule in databases is proposed.

  研究了利用粗糙集理论中核的概念，求取信息系统的最小简化策略，给出了从数据库中发现分类规则的方法。

• The precision of classification rule is decided by the construction of classification algorithm.

  分类规则的精度取决于分类算法的构造。

• A new sampling method is proposed, which USES the latest technologies of database. It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.

  一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。

• The definition of proximate rule was proposed based on the characteristic of text classification rule extraction.

  结合文本分类规则抽取的特点，给出了近似规则的定义。

• A distributed classification rule mining based on ant colony algorithm is proposed, which is based on distributed database structure.

  基于分布式数据挖掘技术，提出了一种基于自适应蚁群算法的分布式分类规则算法。

• This paper combines the Genetic Algorithm with the classification rule mining problem and put forward an incremental genetic algorithm for it and have proved its validity with examples.

  将遗传算法与分类规则挖掘问题相结合，提出了一种基于遗传算法的增量式的分类规则挖掘方法，并通过实例证明了该方法的有效性。

• The paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.

  本文采用一种基于蚁群算法的分类规则挖掘算法，其特征实质上是一种序列覆盖算法。

• Experiment shows that the classification rule mining method using hybrid genetic algorithms can find a set of the succinct, accurate and comprehensible classification rules.

  实验表明，基于混合遗传算法的分类规则挖掘方法能够从数据集中发现一个简洁、準确、易理解的规则集。

• Some classification rule algorithms in data mining are commonly used at present, such as neural network algorithm, genetic algorithm and decision tree algorithm.

  目前常用的分类规则挖掘方法有神经网络、遗传算法、决策树方法等。

• In this thesis, the thorough study of time serial model, classification rule and association rule is made.

  本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。

• Then the decision tree and class association rules mining are used on the video attribute database to extract a decision tree classification rule set and a class association rule set respectively.

  然后分别使用决策树、分类关联规则等技术对视频属性数据库进行数据挖掘，提取出决策树分类规则集和分类关联规则集；

• Generating classification rule by attribution reduces algorithm. Finally, the documents are classified with multiple knowledge bases.

  运用属性约简算法生成分类规则，最后利用多知识库进行文档分类。

• The calculation of learning is simple, classification rule is simplified, and sample classification right ratio is high.

  样本训练的计算简单，分类规则得到简化，样本的分类正确率高。

• It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.

  一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。